Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm

Khodabandeh, Milad; Saryazdi, Maryam Ghassabzadeh; Ohadi, Abdolreza

doi:10.1177/0954406219891756

Cited by 18 publications

(9 citation statements)

References 14 publications

(14 reference statements)

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“…e results show that this method effectively performs the optimization of automatic fixture layout [8]. Sun and others proposed an optimization model of traffic sensor layout.…”

Section: Introductionmentioning

confidence: 93%

Multiobjective Algorithm for Urban Land Spatial Layout Optimization

Zhang²

2022

Security and Communication Networks

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In order to explore a quantitative and multiobjective optimization method of land use spatial allocation, this paper proposes a multiobjective algorithm for urban land spatial layout optimization. In this paper, the optimal multiobjective particle swarm optimization (MSO) algorithm is used to construct the optimal land use allocation model, and the variation characteristics of the optimized land use allocation scheme in quantity structure and spatial layout are analyzed. The results show that the total running time of the MSO model and the ordinary genetic algorithm spatial optimal allocation model is 8.57 h and 3.31 h, respectively, and the running efficiency of the mosolua model is 61.38% higher than that of the ordinary genetic algorithm spatial optimal allocation model. The configuration was optimized by using the model of land use spatial pattern from the plaque compactness, adjacency, aggregation degree, environmental compatibility, and the overall degree of resource-saving and environmental friendliness than the ordinary genetic algorithm model of optimal configuration results, and the model of overall fitness model compared with the ordinary genetic algorithm improved by 12.57%.

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“…e results show that this method effectively performs the optimization of automatic fixture layout [8]. Sun and others proposed an optimization model of traffic sensor layout.…”

Section: Introductionmentioning

confidence: 93%

Multiobjective Algorithm for Urban Land Spatial Layout Optimization

Zhang²

2022

Security and Communication Networks

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“…where d ij is the distance between two data points; n ij is the distance-based heuristic information; and α and β are weight parameters, which have a great influence on pheromones [19].…”

Section: Agglomerative Hierarchical Clustering Algorithm Based On The...mentioning

confidence: 99%

Construction of Alumni Information Analysis Model Based on Big Data

Wang

2022

Mathematical Problems in Engineering

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In order to integrate and utilize alumni resources in a better way, big data is utilized to construct alumni information analysis model based on improved hierarchical clustering algorithm, so as to realize mining and retrieval of alumni information. First,the basic principle of hierarchical clustering algorithm is analyzed concretely. Moreover, the improvement is performed on this basis, and a method of calculating the distance between class clusters based on the ant colony optimization is proposed, which uses the shortest distance of the ant colony algorithm to optimally solve the distance between hierarchical class clusters, so as to improve the clustering accuracy. Then, the alumni information analysis model based on improved hierarchical clustering algorithm is constructed, and the model is divided into text preprocessing, keyword extraction, text feature vector generation, name disambiguation, and alumni recognition modules. Finally, the improved hierarchical clustering algorithm and construction of model are verified by experiments. The results show that the accuracy of the improved agglomerative hierarchical clustering algorithm is as high as 86.4% on average and 3.8% and 4.8% more than the two traditional algorithms. Thus, the clustering effect of the algorithm is better, and the proposed alumni analysis model can effectively process text disambiguation of web pages and identification of alumni information, which has certain effectiveness.

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“…Yang et al 29 constructed an optimization model for the positioning layout of sheet metal parts based on the N -2-1 locating principle and used the cuckoo search algorithm and FEA to obtain the optimal positions of N locators to minimize the deformation of sheet metal parts during machining. Khodabandeh et al 30 used a combined multi-objective ACA and FEA method to obtain the optimal positions and numbers of fixture elements to improve the machining accuracy of the auto-body. Lu and Zhao, 31 extending the work of Cai et al, 9 proposed a fixture layout optimization method based on the 4-2-1 locating principle.…”

Section: Introductionmentioning

confidence: 99%

Fixture layout optimization for car dashboard based on N-X locating principle

Liu

Sun

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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A fixture is a crucial component in the car dashboard manufacturing system and is used to position and restrain the car dashboard under external forces. However, the conventional fixture is only suitable for a specific type of car dashboard, which has poor adaptability. To this end, a new flexible fixture based on the N- X locating principle is proposed in this paper to adapt to different types of car dashboards. In the presented fixture, N clamping elements clamp the dashboard edge, while X movable supporting elements support the area close to the tool along the machining path. Furthermore, the fixture layout is optimized by combining a genetic algorithm (GA) and finite element analysis (FEA). In the optimization program, a multi-objective optimization function is established to suppress the deformation of the car dashboard. FEA is applied to calculate the machining deformation. The optimal locations of the fixture elements are determined by GA. A case is implemented to validate the proposed method and the results show that the maximum deformation and average deformation are reduced by 53.8% and 40%, respectively, compared with the empirical method.

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Multi-objective optimization of auto-body fixture layout based on an ant colony algorithm

Cited by 18 publications

References 14 publications

Multiobjective Algorithm for Urban Land Spatial Layout Optimization

Multiobjective Algorithm for Urban Land Spatial Layout Optimization

Construction of Alumni Information Analysis Model Based on Big Data

Fixture layout optimization for car dashboard based on N-X locating principle

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